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Article

Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs.

NeuroImage - 15 Nov 2014

Cao Hongbao, Duan Junbo, Lin Dongdong, Shugart Yin Yao, Calhoun Vince, Wang Yu-Ping

Abstract excerpt

Integrative analysis of multiple data types can take advantage of their complementary information and therefore may provide higher power to identify potential biomarkers that would be missed using individual data analysis. Due to different natures of diverse data modality, data integration is challenging. Here we address the data integration problem by developing a generalized sparse model (GSM) using weighting...

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Identifiers

PMID: 24530838
DOI: 10.1016/j.neuroimage.2014.01.021
PMCID: PMC4130811

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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